Visual Intelligence is a technology or skill that involves analyzing and interpreting visual data such as images, videos, and diagrams to extract meaningful insights. It leverages tools like computer vision and machine learning to automate the process of understanding visual content, enabling businesses to make data-driven decisions by identifying patterns, trends, and anomalies in visual information.

About Visual Intelligence
Visual Intelligence evolved as a field with the advancement of computer vision and machine learning technologies. Its development was driven by the need to automate the interpretation of visual data in various industries such as security, healthcare, and retail. Researchers and technologists across the globe contributed to its growth, building upon foundational work in artificial intelligence from the mid-20th century. Significant progress occurred during the 2010s when improvements in computational power and algorithm efficiency enabled more sophisticated analysis of images and videos.
Strengths of Visual Intelligence include its ability to process and analyze large volumes of visual data quickly, improve decision-making through accurate insights, and automate tasks traditionally requiring human intervention. Weaknesses involve potential biases in data sets, high computational resource requirements, and challenges in interpreting complex or ambiguous visuals. Competitors include traditional data analysis methods, other AI-driven analytics tools, and specialized computer vision technologies offered by companies like Google Vision AI, Amazon Rekognition, and Microsoft Azure Computer Vision.
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How to hire a Visual Intelligence expert
A Visual Intelligence expert must possess skills in computer vision, machine learning, and deep learning to develop and implement algorithms for visual data analysis. Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, and OpenCV is essential. Knowledge of data preprocessing and image processing techniques is crucial for handling visual datasets. Familiarity with cloud computing platforms for deploying scalable solutions can also be beneficial.

Edem B.
Skills
A data professional with over five years of experience, specializing in the development of effective solutions to business challenges. Exhibiting a strong background in problem-solving and communications, adept at extracting insights from large datasets and translating them into comprehensible information for diverse audiences. Proficiencies include SQL, Excel, BigQuery, and data visualization tools such as Looker Studio and Metabase. Currently engaged in the field of fraud prevention.

Omar G.
Skills
Data Analyst with over 15 years of experience in data engineering, demonstrating comprehensive skills in ETL and ELT tools, and various programming languages. Expertise encompasses databases such as Oracle, MySQL, Microsoft SQL Server, PostgreSQL, Firebird, CosmosDB, MongoDB, and Amazon Redshift. Proficient in ETL tools, including DataStage, Pentaho Data Integration, and Databricks, and adept with analysis tools like BIEE and Power BI. Skilled in cloud environments such as Microsoft Azure, AWS, and Oracle Cloud, with programming capabilities in Java, C#, PHP, Python, and R. Management capabilities are supported by ISO 9001:2000 certification.

José E.
Skills
Data Analyst specializing in business intelligence, currently engaged in a degree program in Data Science with a focus on Machine Learning and Deep Learning, aimed at leveraging data for strategic decision-making and business performance enhancement. Key competencies encompass proficiency in English at a B1 level with a comprehensive understanding of technical terminology, as well as extensive experience in utilizing Power BI for creating visually compelling and insightful data presentations. Expertise in Excel includes leveraging advanced features for efficient data analysis and reporting. Proficient in Python along with essential libraries pertinent to data science and machine learning, facilitating the development of customized, advanced analysis solutions. Exhibits strong analytical thinking and problem-solving skills, capable of extracting significant insights from complex datasets. Committed to continuous professional development and staying current with the latest advances in data analysis and machine learning.

André L.
Skills
Computer Engineering student with an incomplete course of study at the Federal Technological University of Paraná (UTFPR) and currently enrolled in the 5th period of an Information Systems degree at the same institution. Coursework has been augmented by additional studies in PowerBI, React, and Python through online platforms. Also possesses knowledge of the C programming language.

Jonas S.
Skills
Data Analyst with two years of experience specializing in data cleaning, dashboard construction, and operational results analysis for delivery personnel. Currently enhancing skills in data analysis using Python through advanced coursework. Practical training includes ongoing courses in data analytics. Demonstrates proficiency in SQL and Tableau for daily data analytics tasks. Resides in Osasco - SP with one child.

William L.
Skills
Data Management Professional with over six years of experience in implementing business intelligence solutions, specializing in project conception and strategic indicator mapping. Expertise includes technical development with Power BI and the dissemination of knowledge through company-wide lectures and educational sessions.

Matheus H.
Skills
Data scientist with over two years of experience and a degree in Aeronautical Engineering, specializing in data engineering and data science projects. Expertise includes utilizing statistical analysis and machine learning methodologies to solve complex problems, with proficiency in tools such as Python, R, Power BI, and SQL. Recent accomplishments involve developing machine learning models for industrial applications, creating ETL tools for carbon emission reporting, and designing management dashboards to improve decision-making processes. Holds multiple certifications in Data Science and relevant technologies, demonstrating a commitment to continuous professional development.

Agustin B.
Skills
Augustin is a seasoned Data Analyst with over three years of experience. He is experienced in leveraging data to drive decision-making and enhance operational efficiency. His toolkit includes GCP, Tableau, and Python.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
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